---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 51355991596
    num_examples: 15930958
  download_size: 29126915011
  dataset_size: 51355991596
language:
- ja
- en
- code
size_categories:
- 10M<n<100M
license: apache-2.0
---
# JetCopper-10B

## Description

JetCopper-10B was created by extracting a portion of the data after cleaning, filtering, and deduplicating the following datasets.

* The japanese subset of [C4](https://huggingface.co./datasets/allenai/c4)
* The japanese subset of [CC-100](https://data.statmt.org/cc-100)
* The japanese subset of [OSCAR-2301](https://huggingface.co./datasets/oscar-corpus/OSCAR-2301)
* The japanese subset of [HPLT Datasets v1.2](https://hplt-project.org/datasets/v1.2)
* [wiki40b-ja](https://huggingface.co./datasets/range3/wiki40b-ja)

This dataset was used to pre-train [Contrail-200m-64k](https://huggingface.co./sudy-super/Contrail-200m-64k) when we participated in [LOCAL AI HACKATHON #000](https://imminent-land-e64.notion.site/000-2024-04-01-8b9b0ce5c2454002ac8ecdc6311e3a49).

## The number of tokens (Using tokenizer of [calm2-chat](https://huggingface.co./cyberagent/calm2-7b-chat))

| Language | The number of tokens |
| --- | --- |
| Japanese | 4.7b |
| English | 5b |
| Code | 0.9b |


## NOTE

This dataset has not passed sentence end boundary determination or Perplexity Filtering, so there is room for improvement in quality.